SMS Spam Identification and Risk Assessment Evaluations
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Affiliation:
1. School of Computing, University of Portsmouth, Portsmouth, U.K., --- Select a Country ---
2. Computer Engineering and Informatics Department, University of Patras, Patras, Greece, --- Select a Country ---
Publisher
SCITEPRESS - Science and Technology Publications
Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Cyber Incidents Risk Assessments Using Feature Analysis;SN Computer Science;2023-11-15
2. A Machine Learning Approach for Efficient Spam Detection in Short Messaging System (SMS);TENCON 2023 - 2023 IEEE Region 10 Conference (TENCON);2023-10-31
3. Classifying Hindi News Using Various Machine Learning and Deep Learning Techniques;International Journal on Artificial Intelligence Tools;2023-10-11
4. A Comparative Analysis of Tweet Analysis Algorithms Using Natural Language Processing and Machine Learning Models;2023 18th International Workshop on Semantic and Social Media Adaptation & Personalization (SMAP)18th International Workshop on Semantic and Social Media Adaptation & Personalization (SMAP 2023);2023-09-25
5. Comparative Study of Machine Learning Algorithms and Text Vectorization Methods for Fake News Detection;2023 14th International Conference on Information, Intelligence, Systems & Applications (IISA);2023-07-10
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